Abstract: Anti-money laundering (AML) is a classical data mining problem in finance applications. As well known, money laundering (ML) is critical to the effective operation of transnational and ...

Abstract: In a large hospital system, a network of hospitals relies on electronic health records (EHRs) to make informed decisions regarding their patients in various clinical domains. Consequently, ...

The post Top 7 Quantum-Resistant Encryption Methods for Modern AI Pipelines appeared first on Read the Gopher Security's ...

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

The "lazy influencer" is finished. Social media hierarchies stayed frozen for a decade. If a content creator hit a million ...

We provide some Jupyter Notebooks in ./jupyter_notebooks, and their corresponding online Google Colaboratory Notebooks. You can run them for a quick start. For the unconditional generation with ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...

As of May 2026, the GTA RP landscape has shifted from a passive viewing experience to a highly competitive ecosystem where over 9 million streamers vie for attention. The winners aren't just the best ...

The BJD alleges that Odisha has become a 'disturbed state' due to rising crime under BJP rule, citing several violent ...